Triple

T12946527
Position Surface form Disambiguated ID Type / Status
Subject Shinkansen E309780 entity
Predicate technologyInfluence P61774 FINISHED
Object French TGV E445505 NE FINISHED

How this triple was built (3 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: French TGV | Statement: [Shinkansen, technologyInfluence, French TGV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: French TGV
Context triple: [Shinkansen, technologyInfluence, French TGV]
  • A. TGV high-speed rail
    TGV high-speed rail is France’s flagship high-speed train service that connects major cities and hubs, including direct links from Charles de Gaulle Airport to destinations across the country and into neighboring nations.
  • B. TGV chosen
    TGV is France’s high-speed intercity train service, renowned for rapid connections between major cities such as Paris and Lille.
  • C. TGV PSE
    TGV PSE is the original generation of French high-speed TGV Sud-Est trainsets that inaugurated high-speed rail service in France.
  • D. TGV INOUI
    TGV INOUI is SNCF’s premium high-speed train service in France, offering upgraded comfort, amenities, and service compared to standard TGV trains.
  • E. TGV Sud-Est trainset
    The TGV Sud-Est trainset is the original high-speed electric multiple unit used on France’s pioneering TGV services, known for inaugurating high-speed rail in the country in the early 1980s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: technologyInfluence
Context triple: [Shinkansen, technologyInfluence, French TGV]
  • A. influencedTechnology chosen
    Indicates that one entity has had a causal or shaping impact on the development, design, or use of a technological entity.
  • B. technologyEffect
    Indicates the impact or influence that a particular technology has on another entity, system, or outcome.
  • C. technologyTrend
    Indicates a relationship where a technology is characterized as part of a broader pattern of change or direction in technological development over time.
  • D. technologyParadigm
    Indicates a relationship where one entity represents or defines the overarching technological model, framework, or approach within which another entity operates or is categorized.
  • E. technologyAdvantage
    Indicates that one entity possesses a superior or more advanced technological capability compared to another entity.
  • F. None of above.

Provenance (4 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d7bdfb57a88190836b743e2825feca completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97e59a4c88190907d05b8d57dae89 completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af75bc04819098d98c47fca48ac9 completed May 3, 2026, 2:14 a.m.
PD Predicate disambiguation batch_69d97db69f548190a1a693bc0d6c191a completed April 10, 2026, 10:46 p.m.
Created at: April 9, 2026, 5:43 p.m.